• Ms. Sanjukta Chakraborty
• Prof. (Dr.) Dilip Kumar Banerjee

Lung cancer is a type of cancer that begins in the cells of the lungs, typically in the cells lining the air passages. It is one of the leading causes of cancer-related deaths worldwide. In India deaths due to Lung cancer is highest among all other cancer types. We have tried to leverage various modalities of medical imaging to enhance the detection and classification of lung cancer using Artificial Intelligence (AI) techniques. This interdisciplinary approach combines the power of Artificial Intelligence with the richness of multi-modal images, such as X-rays, CT scans, PET-CT scans and MRI scans. By training various Machine Learning algorithms (AI Techniques) on diverse datasets of multi modal images, this system aims to enhance accuracy in identifying lung cancer at different stages. The advantages of using multi modal images in the detection and classification of lung cancer are characterized by Increased Sensitivity and Specificity, Comprehensive Tumor Characterization, Robust Feature Extraction, Improved Early Detection, Enhanced Precision Medicine and Reduced Ambiguity. In summary, leveraging multimodal images enhances the overall performance of models, leading to more accurate, early, and personalized diagnosis and treatment strategies. The role of multimodal images in lung cancer detection and classification through AI techniques holds great promise for revolutionizing diagnostic practices. As technology continues to progress, the synergy between advanced imaging and intelligent algorithms is poised to significantly impact patient care, contributing to earlier diagnosis, tailored treatments, and ultimately, improved outcomes for individuals affected by lung cancer.

Lung Cancer detection and classification, multi modal images, sensitivity and specificity, comprehensive tumor characterization, robust feature extraction, early detection, precision medicine.

"A STUDY ON THE ADVANTAGES OF USING MULTI MODAL IMAGES IN THE DETECTION AND CLASSIFICATION OF LUNG CANCER USING ARTIFICIAL INTELLIGENCE TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.e549-e576, February-2024, Available :http://www.jetir.org/papers/JETIR2402479.pdf

"A STUDY ON THE ADVANTAGES OF USING MULTI MODAL IMAGES IN THE DETECTION AND CLASSIFICATION OF LUNG CANCER USING ARTIFICIAL INTELLIGENCE TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppe549-e576, February-2024, Available at : http://www.jetir.org/papers/JETIR2402479.pdf